Triple

T22150816
Position Surface form Disambiguated ID Type / Status
Subject Freddy Delbaen E547406 entity
Predicate coAuthor P398 FINISHED
Object Jean-Marc Eber
Jean-Marc Eber is a mathematician known for his collaborative research with Freddy Delbaen, particularly in areas related to probability and mathematical finance.
E1523562 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jean-Marc Eber | Statement: [Freddy Delbaen, coAuthor, Jean-Marc Eber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Marc Eber
Context triple: [Freddy Delbaen, coAuthor, Jean-Marc Eber]
  • A. Jean-Marc Mormeck
    Jean-Marc Mormeck is a French former professional boxer and multiple-time cruiserweight world champion known for his powerful, pressure-fighting style.
  • B. Christophe Beaucarne
    Christophe Beaucarne is a Belgian cinematographer known for his visually refined work on European art-house and mainstream films.
  • C. Jean-Marc Roques
    Jean-Marc Roques is an architect best known for his work on the design and development of the French alpine resort of Avoriaz.
  • D. Ludovic Rohart
    Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
  • E. Thierry Burkhard
    Thierry Burkhard is a French Army general who has served as France’s top military officer and a key figure in shaping the country’s contemporary defense policy and armed forces.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jean-Marc Eber
Triple: [Freddy Delbaen, coAuthor, Jean-Marc Eber]
Generated description
Jean-Marc Eber is a mathematician known for his collaborative research with Freddy Delbaen, particularly in areas related to probability and mathematical finance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean-Marc Eber
Target entity description: Jean-Marc Eber is a mathematician known for his collaborative research with Freddy Delbaen, particularly in areas related to probability and mathematical finance.
  • A. Jean-Marc Mormeck
    Jean-Marc Mormeck is a French former professional boxer and multiple-time cruiserweight world champion known for his powerful, pressure-fighting style.
  • B. Christophe Beaucarne
    Christophe Beaucarne is a Belgian cinematographer known for his visually refined work on European art-house and mainstream films.
  • C. Jean-Marc Roques
    Jean-Marc Roques is an architect best known for his work on the design and development of the French alpine resort of Avoriaz.
  • D. Ludovic Rohart
    Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
  • E. Thierry Burkhard
    Thierry Burkhard is a French Army general who has served as France’s top military officer and a key figure in shaping the country’s contemporary defense policy and armed forces.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f37dac8190a7cecb12f4271515 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9eb8d398819086031725209b6712 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9fcd64948190b37649b57b0aeb7b completed May 18, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa06cd2708190856a9e4dd8891eca completed May 18, 2026, 5:15 a.m.
Created at: April 16, 2026, 8:33 p.m.